Maryam Aghamohammad

Maryam Aghamohammad photo

Areas of Expertise

Inland Waterways Transportation
Deep Learning
Machine Learning

Email: maghamoh@uark.edu

Resume/CV

Phone: (479) 276-0321

Research Interests:

  • Machine Learning
  • Deep Reinforcement Learning
  • Statistical Learning
  • Optimization

Journal Articles and Publications:

  1. Aghamohammadghasem, M., Azucena, J.C.H., Hashemian , F., Liao, H.T., Zhang, S., and Nachtmann, H.L., “System Simulation and Machine Learning-Based Maintenance Optimization for an Inland Waterway Transportation System”, Proceedings of the 2023 Winter Simulation Conference. San Antonio, TX., 2023
  1. Aghamohammadghasem, M., Azucena, J.C.H., Liao, H.T., Zhang, S., and Nachtmann, H.L., “Preventive Maintenance Planning for an Inland Waterway Transportation System Using Deep Reinforcement Learning”, Proceedings of the IISE Annual Conference and Expo 2023. New Orleans, LA., May 2023
  1. Rossetti, M., Hashmian, F., Aghamohammadghasem, M., Phan, Danh, and Mousavi, ”1input distribution modeling using the Kotlin simulation library”, Proceedings of the 2024 Winter Simulation Conference. Orlando, Florida, 2024. (Accepted)

Honors and Awards:

  • Industrial Engineering Department Scholarship, University of Arkansas, 2023
  • Carolyn Clark Langston Dr. Harold D. Langston Endowment for Technical Outreach Fellowship, University of Arkansas, 2022